PE&RS June 2014 - page 492

492
June 2014
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
S
ummary
During the eight years between 1964, when the first data
were obtained with a multispectral scanner over a non-mili-
tary target, and 1972 when ERTS-1 was launched, an amazing
amount of progress was made, including data handling, im-
age analysis and classification, data display capabilities, bet-
ter understanding of the spectral reflectance of earth surface
materials and many other advancements in remote sensing
technology. Tremendous progress has continued throughout
these past 50 years in data collection (utilizing a wide array
of remote sensing instruments), data processing and analysis,
and applications. Today, many types of remote sensor data
are being utilized throughout the world for a wide variety of
very practical applications in many disciplines. As one consid-
ers the tremendous progress made in remote sensing and GIS
(Geographic Information Systems) over the last 50 years, you
cannot help but wonder: “What will the next 50 years bring?”
R
eferences
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Sensing Digital Image Processing and Raster GIS.
The His-
tory of Geographic Information Systems: Perspectives from
the Pioneers.
(T.W. Foresman, editor), Prentice Hall PTR,
Upper Saddle River, NJ. pp. 163 - 180.
Holmes, R A., and R.M. Hoffer. 1966. Remote Sensing in Ag-
riculture; Semi-Annual Progress Report – May 1, 1966
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Departments of Electrical Engineering, Botany and Plant
Pathology, respectively, Purdue University, West Lafayette,
Indiana. 28 pp.
Hoffer, R.M. 1967. Interpretation of Remote Multispectral
Imagery of Agricultural Crops; Laboratory for Agricultural
Remote Sensing, Volume No. 1 (Annual Report).
Research
Bulletin No. 831.
Agricultural Experiment Station, Purdue
University, West Lafayette, Indiana. 36 pp.
Hoffer, R.M., and C.J. Johannsen. 1969. Ecological Potentials
in Spectral Signature Analysis,
Remote Sensing in Ecology
(Philip Johnson, editor), University of Georgia Press, Ath-
ens, GA. pp. 1 – 16.
Hoffer, R.M. 1978. Biological and Physical Considerations in
Applying Computer-Aided Analysis Techniques to Remote
Sensor Data.
Remote Sensing: The Quantitative Approach
(P. H. Swain and S. M. Davis, editors), McGraw-Hill, Inc.,
N.Y., N.Y. pp. 227-289.
Hoffer, R.M. 1998. Remote Sensing and GIS in Agriculture
and Forestry – The Early Years.
The History of Geographic
Information Systems: Perspectives from the Pioneers.
(T.W.
Foresman, editor), Prentice Hall PTR, Upper Saddle River,
NJ. pp. 147 – 159.
Landgrebe, D.A.. and Staff of Laboratory for Agricultural
Remote Sensing. 1967. Automatic Identification and Clas-
sification of Wheat by Remote Sensing
. LARS Information
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Agricultural
Experiment Station, Purdue University, West Lafayette, In-
diana. 7 pp.
Landgrebe, D.A.. 1986. A Brief History of the Laboratory for
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LARS staff. 1967. Remote Multispectral Sensing in Agricul-
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Research Bulletin No. 832.
Agricul-
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ing, Purdue University, West Lafayette, Indiana. 75 pp.
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ture; Laboratory for Agricultural Remote Sensing, Volume
No. 3 (Annual Report).
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LARS staff. 1970. Remote Multispectral Sensing in Agricul-
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tion, Purdue University, West Lafayette, Indiana. 113 pp.
MacDonald, R.B., M.E. Bauer, R.D. Allen, J.W. Clifton, J.D.
Erickson, and D.A. Landgrebe, 1972. Results of the 1971
Corn Blight Watch Experiments,
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MacDonald, R. B. 1983. A Summary of the History of the De-
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A
cknowledgements
I would like to acknowledge Dr. Marvin Bauer, University
of Minnesota, for his excellent review of this article; and Dr.
Russ Congalton, University of New Hampshire and Editor-in-
Chief,
PE&RS
, for his encouragement to submit the article.
I also acknowledge all my former colleagues at Purdue
University for their part in the research and in the develop-
ment of the computer-aided analysis techniques discussed in
this article. I would also like to acknowledge the engineers
at the Institute of Science and Technology, University of
Michigan for their pioneering efforts in developing the first
multispectral scanner systems.
A
uthor
Roger M. Hoffer, PhD
Professor Emeritus, Department of Forest Sciences
Colorado State University
Fort Collins, Colorado 80523
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